Year: 2017
Species: WhiteTailedJackrabbit
WAIC
Models by WAIC:
|
model
|
description
|
WAIC
|
|
sc.fm1
|
dot model
|
305.9508
|
|
sc.fm2.2
|
temp
|
306.2525
|
|
sc.fm2.1
|
snow
|
307.2260
|
|
sc.fm4.0
|
lure + snow + temp
|
307.8456
|
|
sc.fm2.3
|
pass
|
308.1183
|
|
sc.fm2.0
|
lure
|
308.2847
|
|
sc.fm3.0
|
lure + snow
|
309.3748
|
|
sc.fm4.2
|
lure + snow + temp + pass
|
309.8123
|
|
sc.fm3.1
|
lure + pass
|
310.2032
|
|
sc.fm5.1
|
lure + snow + temp + pass + lure * snow
|
311.0779
|
|
sc.fm5.0
|
lure + snow + temp + pass + temp * snow
|
311.0822
|
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow
|
cov
|
indicator_mean
|
|
psi.ind
|
0.12461
|
|
beta.ind[3]
|
0.00115
|
|
beta.ind[2]
|
0.00073
|
|
beta.ind[1]
|
0.00030
|
|
beta.ind[4]
|
0.00000
|
|
beta.ind[5]
|
0.00000
|
|
beta.ind[6]
|
0.00000
|
sc.fm6.1 model: (reverse jump - unconstrained) lure + snow + temp + pass + temp * snow + lure * snow
|
cov
|
indicator_mean
|
|
psi.ind
|
0.12532
|
|
beta.ind[5]
|
0.00364
|
|
beta.ind[4]
|
0.00273
|
|
beta.ind[3]
|
0.00073
|
|
beta.ind[2]
|
0.00067
|
|
beta.ind[1]
|
0.00030
|
|
beta.ind[6]
|
0.00030
|
sc.fm6.4 model: (reverse jump) lure + snow + temp + pass
|
cov
|
indicator_mean
|
|
psi.ind
|
0.16829
|
|
beta.ind[3]
|
0.00176
|
|
beta.ind[2]
|
0.00079
|
|
beta.ind[1]
|
0.00061
|
|
beta.ind[4]
|
0.00000
|
Model summaries:
sc.fm1 summary:
dot model
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
794
|
125.847
|
67.179
|
26.00
|
234.00
|
0
|
|
D
|
794
|
76.050
|
40.597
|
|
Year: 2017
Species: WhiteTailedJackrabbit
WAIC
Models by WAIC:
|
model
|
description
|
WAIC
|
|
sc.fm1
|
dot model
|
305.9508
|
|
sc.fm2.2
|
temp
|
306.2525
|
|
sc.fm2.1
|
snow
|
307.2260
|
|
sc.fm4.0
|
lure + snow + temp
|
307.8456
|
|
sc.fm2.3
|
pass
|
308.1183
|
|
sc.fm2.0
|
lure
|
308.2847
|
|
sc.fm3.0
|
lure + snow
|
309.3748
|
|
sc.fm4.2
|
lure + snow + temp + pass
|
309.8123
|
|
sc.fm3.1
|
lure + pass
|
310.2032
|
|
sc.fm5.1
|
lure + snow + temp + pass + lure * snow
|
311.0779
|
|
sc.fm5.0
|
lure + snow + temp + pass + temp * snow
|
311.0822
|
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow
|
cov
|
indicator_mean
|
|
psi.ind
|
0.1.21
|
0.93219
|
N

D

sigma

beta0.lam0

beta.lam0[1]

summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
775
|
134.433
|
77.742
|
32.00
|
242.00
|
0.00000
|
|
D
|
775
|
81.239
|
46.980
|
19.34
|
146.24
|
0.00000
|
|
sigma
|
1294
|
0.307
|
0.266
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
5805
|
-1.725
|
-1.703
|
-2.38
|
-1.07
|
0.00096
|
|
beta.lam0[1]
|
16500
|
-0.224
|
-0.218
|
-0.51
|
0.05
|
0.45881
|
N

D

sigma

beta0.lam0

beta.lam0[1]

summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
743
|
133.096
|
76.258
|
30.00
|
244.00
|
0.00000
|
|
D
|
743
|
80.431
|
46.083
|
17.52
|
146.85
|
0.00000
|
|
sigma
|
1369
|
0.309
|
0.295
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
6018
|
-1.702
|
-1.648
|
-2.37
|
-1.06
|
0.00231
|
|
beta.lam0[1]
|
16500
|
-0.270
|
-0.274
|
-0.54
|
-0.01
|
0.25062
|
N

D

sigma

beta0.lam0

beta.lam0[1]

<2461
|
beta.ind[3]
|
0.00115
|
|
beta.ind[2]
|
0.00073
|
|
beta.ind[1]
|
0.00030
|
|
beta.ind[4]
|
0.00000
|
|
beta.ind[5]
|
0.00000
|
|
beta.ind[6]
|
0.00000
|
sc.fm6.1 model: (reverse jump - unconstrained) lure + snow + temp + pass + temp * snow + lure * snow
|
cov
|
indicator_mean
|
|
psi.ind
|
0.12532
|
|
beta.ind[5]
|
0.00364
|
|
beta.ind[4]
|
0.00273
|
|
beta.ind[3]
|
0.00073
|
|
beta.ind[2]
|
0.00067
|
|
beta.ind[1]
|
0.00030
|
|
beta.ind[6]
|
0.00030
|
sc.fm6.4 model: (reverse jump) lure + snow + temp + pass
|
cov
|
indicator_mean
|
|
psi.ind
|
0.16829
|
|
beta.ind[3]
|
0.00176
|
|
beta.ind[2]
|
0.00079
|
|
beta.ind[1]
|
0.00061
|
|
beta.ind[4]
|
0.00000
|
Model summaries:
sc.fm1 summary:
dot model
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
794
|
125.847
|
67.179
|
26.00
|
234.00
|
0
|
|
D
|
794
|
76.050
|
40.597
|
15.71
|
141.41
|
0
|
|
sigma
|
1237
|
0.301
|
0.282
|
0.17
|
0.43
|
0
|
|
lam0
|
6303
|
0.254
|
0.198
|
0.09
|
0.40
|
0
|
N

D

sigma

lam0

summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
732
|
136.384
|
68.829
|
35.00
|
254.00
|
0.00000
|
|
D
|
732
|
82.417
|
41.594
|
21.15
|
153.49
|
0.00000
|
|
sigma
|
1424
|
0.307
|
0.279
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
5322
|
-1.700
|
-1.613
|
-2.35
|
-1.01
|
0.00246
|
|
beta.lam0[1]
|
16500
|
-0.120
|
-0.055
|
-0.41
|
0.21
|
0.93219
|
N

D

sigma

beta0.lam0

beta.lam0[1]

summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
775
|
134.433
|
77.742
|
32.00
|
242.00
|
0.00000
|
|
D
|
775
|
81.239
|
46.980
|
19.34
|
146.24
|
0.00000
|
|
sigma
|
1294
|
0.307
|
0.266
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
5805
|
-1.725
|
-1.703
|
-2.38
|
-1.07
|
0.00096
|
|
beta.lam0[1]
|
16500
|
-0.224
|
-0.218
|
-0.51
|
0.05
|
0.45881
|
N

D

sigma

beta0.lam0

beta.lam0[1]

summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
743
|
133.096
|
76.258
|
30.00
|
244.00
|
0.00000
|
|
D
|
743
|
80.431
|
46.083
|
17.52
|
146.85
|
0.00000
|
|
sigma
|
1369
|
0.309
|
0.295
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
6018
|
-1.702
|
-1.648
|
-2.37
|
-1.06
|
0.00231
|
|
beta.lam0[1]
|
16500
|
-0.270
|
-0.274
|
-0.54
|
-0.01
|
0.25062
|
N

D

sigma

beta0.lam0

beta.lam0[1]

summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
774
|
143.926
|
93.563
|
40.00
|
265.00
|
0.00000
|
|
D
|
774
|
86.975
|
56.541
|
24.17
|
160.14
|
0.00000
|
|
sigma
|
1751
|
0.315
|
0.287
|
0.19
|
0.43
|
0.00000
|
|
beta0.lam0
|
4360
|
-2.102
|
-2.076
|
-2.94
|
-1.26
|
0.00183
|
|
beta.lam0[1]
|
8551
|
0.927
|
0.789
|
-0.09
|
1.91
|
0.32300
|
N

D

sigma

beta0.lam0

beta.lam0[1]

sc.fm3.0 summary:
lure + snow
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
<thpts/R/Projects/Meso/occupancy/SC_Results_toGit/SC_model_2017/WhiteTailedJackrabbit2017_files/figure-html/unnamed-chunk-68-1.png" width=“672” />
beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

beta.lam0[4]

sc.fm5.0 summary:
lure + snow + temp + pass + temp * snow
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
727
|
153.727
|
91.161
|
47.00
|
276.00
|
0.00000
|
|
D
|
727
|
92.898
|
55.089
|
26.59
|
164.98
|
0.00000
|
|
sigma
|
1836
|
0.315
|
0.291
|
0.19
|
0.43
|
0.00000
|
|
beta0.lam0
|
3539
|
-2.335
|
-2.372
|
-3.25
|
-1.45
|
0.00161
|
|
beta.lam0[1]
|
16500
|
-0.188
|
-0.146
|
-0.55
|
0.17
|
0.88276
|
|
beta.lam0[2]
|
16937
|
-0.222
|
-0.201
|
-0.52
|
0.08
|
0.54659
|
style=“text-align:right;”> hdi_89pct_lower
hdi_89pct_upper
|
bayes_P
|
|
N
|
687
|
138.562
|
78.022
|
32.00
|
252.00
|
0.00000
|
|
D
|
687
|
83.734
|
47.149
|
19.34
|
152.28
|
0.00000
|
|
sigma
|
1294
|
0.305
|
0.266
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
4504
|
-1.764
|
-1.780
|
-2.44
|
-1.06
|
0.00234
|
|
beta.lam0[1]
|
16500
|
-0.102
|
-0.025
|
-0.41
|
0.21
|
0.98911
|
|
beta.lam0[2]
|
16500
|
-0.218
|
-0.189
|
-0.49
|
0.07
|
0.47639
|
N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

sc.fm3.1 summary:
lure + pass
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
818
|
142.874
|
81.862
|
37.00
|
255.00
|
0.00000
|
|
D
|
818
|
86.340
|
49.470
|
21.15
|
152.89
|
0.00000
|
|
sigma
|
1806
|
0.318
|
0.303
|
0.19
|
0.44
|
0.00000
|
|
beta0.lam0
|
3899
|
-2.164
|
-2.125
|
-3.03
|
-1.30
|
0.00183
|
|
beta.lam0[1]
|
16500
|
-0.142
|
-0.116
|
-0.46
|
0.18
|
0.85549
|
|
beta.lam0[2]
|
9833
|
0.933
|
0.826
|
-0.02
|
1.95
|
0.30240
|
N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

sc.fm4.0 summary:
lure + snow + temp
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
764
|
143.286
|
90.827
|
34.00
|
256.00
|
0.00000
|
|
D
|
764
|
86.588
|
54.887
|
20.55
|
154.70
|
0.00000
|
|
sigma
|
1474
|
0.303
|
0.267
|
0.18
|
0.43
|
0.00000
|
|
beta0.lam0
|
5552
|
-1.876
|
-1.901
|
-2.59
|
-1.22
|
0.00074
|
|
beta.lam0[1]
|
16500
|
-0.223
|
-0.194
|
-0.58
|
0.14
|
0.72331
|
|
beta.lam0[2]
|
16115
|
-0.265
|
-0.245
|
-0.54
|
0.02
|
0.35072
|
|
beta.lam0[3]
|
16500
|
-0.350
|
-0.375
|
-0.62
|
-0.08
|
0.11490
|
N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

sc.fm4.2 summary:
lure + snow + temp + pass
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
764
|
151.446
|
112.620
|
44.00
|
269.00
|
0.00000
|
|
D
|
764
|
91.520
|
68.057
|
26.59
|
162.56
|
0.00000
|
|
sigma
|
1720
|
0.317
|
0.286
|
0.19
|
0.44
|
0.00000
|
|
beta0.lam0
|
3657
|
-2.357
|
-2.312
|
-3.25
|
-1.51
|
0.00082
|
|
beta.lam0[1]
|
16500
|
-0.251
|
-0.191
|
-0.63
|
0.12
|
0.65294
|
|
beta.lam0[2]
|
16500
|
-0.271
|
-0.251
|
-0.55
|
0.02
|
0.33915
|
|
beta.lam0[3]
|
16500
|
-0.346
|
-0.341
|
-0.61
|
-0.07
|
0.11906
|
|
beta.lam0[4]
|
5113
|
0.930
|
0.866
|
-0.04
|
1.86
|
0.26827
|
N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

beta.lam0[4]

sc.fm5.0 summary:
lure + snow + temp + pass + temp * snow
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
727
|
153.727
|
91.161
|
47.00
|
276.00
|
0.00000
|
|
D
|
727
|
92.898
|
55.089
|
26.59
|
164.98
|
0.00000
|
|
sigma
|
1836
|
0.315
|
0.291
|
0.19
|
0.43
|
0.00000
|
|
beta0.lam0
|
3539
|
-2.335
|
-2.372
|
-3.25
|
-1.45
|
0.00161
|
|
beta.lam0[1]
|
16500
|
-0.188
|
-0.146
|
-0.55
|
0.17
|
0.88276
|
|
beta.lam0[2]
|
16937
|
-0.222
|
-0.201
|
-0.52
|
0.08
|
0.54659
|
|
beta.lam0[3]
|
16500
|
-0.221
|
-0.194
|
-0.55
|
0.11
|
0.58673
|
|
beta.lam0[4]
|
10076
|
0.966
|
0.855
|
-0.08
|
1.87
|
0.28241
|
|
beta.lam0[5]
|
16500
|
0.295
|
0.284
|
-0.16
|
0.74
|
0.60228
|
N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

beta.lam0[4]

beta.lam0[5]

sc.fm5.1 summary:
lure + snow + temp + pass + lure * snow
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
|
param
|
n_effective
|
mean
|
mode
|
hdi_89pct_lower
|
hdi_89pct_upper
|
bayes_P
|
|
N
|
782
|
145.802
|
101.092
|
38.00
|
260.00
|
0.00000
|
|
D
|
782
|
88.109
|
61.090
|
22.96
|
157.12
|
0.00000
|
|
sigma
|
1835
|
0.322
|
0.292
|
0.20
|
0.44
|
0.00000
|
|
beta0.lam0
|
3959
|
-2.404
|
-2.269
|
-3.27
|
-1.52
|
0.00166
|
|
beta.lam0[1]
|
16500
|
-0.349
|
-0.241
|
-0.77
|
0.11
|
0.54103
|
|
beta.lam0[2]
|
16500
|
-0.252
|
-0.258
|
-0.55
|
0.06
|
0.42682
|
|
beta.lam0[3]
|
17455
|
-0.370
|
-0.365
|
-0.66
|
-0.09
|
0.12190
|
|
beta.lam0[4]
|
8472
|
0.917
|
0.823
|
-0.10
|
1.86
|
0.32310
|
|
beta.lam0[5]
|
16500
|
0.190
|
0.161
|
-0.14
|
0.52
|
0.63611
|
N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

beta.lam0[4]

beta.lam0[5]
